ENTITY Universality and Approximation Rates of Graph Neural Networks with Random Features

Universality and Approximation Rates of Graph Neural Networks with Random Features

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TOOL · CL_179292 · Jul 29 · 09:46

Graph Neural Networks with Random Features Achieve Universality

Researchers have established a new universality result for message-passing graph neural networks (GNNs) that incorporate random node features. This work specifically focuses on Permutation-Equivariant Neural Networks (P…

Graph Neural Networks with Random Features Achieve Universality